A Five-Layer Stack for Governed Intelligence.
MsgStack isn't just a database; it's a governance protocol. Every piece of information flows through five distinct layers before an AI agent can retrieve it as a grounded fact.
The Architecture Stack
The five governance layers on the left define how truth is structured. The knowledge graph on the right shows how those layers connect and propagate across your organization in practice.
Graph Inspector
payments-api
Payments · Spec
Persistence
SQLite for local/dev and PostgreSQL for production environments. Entry data is stored alongside local vector embeddings generated on-device.
Retrieval Fusion
A custom Python engine combines graph adjacency results with vector similarity scores, filtered by user-defined governance states.
MCP Interface
The server implements the Model Context Protocol, exposing tools via JSON-RPC. Compatible with Claude Desktop, Cursor, and ChatGPT.
Governance
Every entry has a lifecycle (DRAFT → APPROVED → LOCKED). Grounding is restricted to approved nodes to prevent unverified drift.
Build on the Canonical Layer.
Ready to dive into the code? Check out the GitHub repository for detailed implementation notes and contribution guides.